Diagnosis of Breast Cancer by Modular Evolutionary Neural Networks

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Diagnosis of Breast Cancer by Modular
Evolutionary Neural Networks

• Rahul Kala,
• School of Cybernetics, School of Systems
  Engineering
• University of Reading
• http//rkala.99k.org/
• rkala001_at_gmail.com, r.kala_at_pgr.reading.ac.uk

Publication of paper R. Kala, R. R. Janghel, R.
Tiwari, A. Shukla (2011) Diagnosis of Breast
Cancer by Modular Evolutionary Neural
Networks, International Journal of Biomedical
Engineering and Technology, 7(2) 194 211. 
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Presentation to the paper

• R. Kala et al. (2011) Diagnosis of Breast Cancer
  by Modular Evolutionary Neural Networks, Internati
  onal Journal of Biomedical Engineering and
  Technology Accepted, In Press

Research Sponsored by Indian Institute of
Information Technology and Management Gwalior,
INDIA
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Biomedical Engineering
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The Problem
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Data Set
Data Set Available At W. H. Wolberg, O. L.
Mangasarian, D. W. Aha. UCI Machine Learning
Repository http//www.ics.uci.edu/mlearn/MLRepos
itory.html, University of Wisconsin Hospitals,
1992.
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Machine Learning Perspective
Data Set Data Set Data Set Data Set







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Not in agenda
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Concept 1 Evolutionary Neural Network
System 1
System 2
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Concept 2 Attribute Division
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Concept 3 Input Space Division
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Concept 3 Input Space Division
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Concept 4 Mixture of Experts
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Results
S. No. Method Training Accuracy Testing Accuracy
1. Proposed Algorithm 98.5075 95.8084
2. Modular Neural Network 94.4020 91.4773
3. Ensembles 98.2188 94.8864
4. Evolutionary Neural Network 96.2779 95.7831
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Component Results
Code Expert Number Cluster Number Module Number Training Accuracy Testing Accuracy
A Entire System (all experts combined) Entire System (all experts combined) Entire System (all experts combined) 98.5075 95.8084
E1 Expert 1 Multi-Layer Perceptron (all clusters combined) Expert 1 Multi-Layer Perceptron (all clusters combined) Expert 1 Multi-Layer Perceptron (all clusters combined) 98.0100 95.8084
E1.C1 Multi-Layer Perceptron-1 1 (all modules combined) 1 (all modules combined) 98.9362 98.4848
E1.C1.M1 Multi-Layer Perceptron-1 1 1 98.9362 95.4545
E1.C1.M2 Multi-Layer Perceptron-1 1 2 99.4681 98.4848
E1.C2 Multi-Layer Perceptron-1 2 (all modules combined) 2 (all modules combined) 97.5000 92.0635
E1.C2.M1 Multi-Layer Perceptron-1 2 1 93.3333 84.1270
E1.C2.M2 Multi-Layer Perceptron-1 2 2 97.5000 93.6508
E1.C3 Multi-Layer Perceptron-1 3 (all modules combined) 3 (all modules combined) 96.8085 97.3684
E1.C1.M1 Multi-Layer Perceptron-1 3 1 96.8085 97.3684
E1.C1.M2 Multi-Layer Perceptron-1 3 2 100 96.8085
E2 Expert 2 Radial Basis Function Network Expert 2 Radial Basis Function Network Expert 2 Radial Basis Function Network 98.0100 95.8084
E2.C1 Radial Basis Function 1 (all modules combined) 1 (all modules combined) 98.9362 98.4848
E2.C1.M1 Radial Basis Function 1 1 97.8723 93.9394
E2.C1.M2 Radial Basis Function 1 2 99.4681 96.9697
E2.C2 Radial Basis Function 2 (all modules combined) 2 (all modules combined) 96.6667 93.6508
E2.C2.M1 Radial Basis Function 2 1 94.1667 88.8889
E2.C2.M2 Radial Basis Function 2 2 96.6667 88.8889
E2.C3 Radial Basis Function 3 (all modules combined) 3 (all modules combined) 100 97.3684
E2.C1.M1 Radial Basis Function 3 1 98.9362 97.3684
E2.C1.M2 Radial Basis Function 3 2 100 97.3684
E3 Expert 1 Multi-Layer Perceptron (all clusters combined) Expert 1 Multi-Layer Perceptron (all clusters combined) Expert 1 Multi-Layer Perceptron (all clusters combined) 98.7562 95.8084
E3.C1 Multi-Layer Perceptron-2 1 (all modules combined) 1 (all modules combined) 98.9362 98.4848
E3.C1.M1 Multi-Layer Perceptron-2 1 1 98.9362 95.4545
E3.C1.M2 Multi-Layer Perceptron-2 1 2 98.9362 98.4848
E3.C2 Multi-Layer Perceptron-2 2 (all modules combined) 2 (all modules combined) 98.3333 90.4762
E3.C2.M1 Multi-Layer Perceptron-2 2 1 95.0000 85.7143
E3.C2.M2 Multi-Layer Perceptron-2 2 2 99.1667 87.3016
E3.C3 Multi-Layer Perceptron-2 3 (all modules combined) 3 (all modules combined) 98.9362 94.7368
E3.C1.M1 Multi-Layer Perceptron-2 3 1 100.0000 97.3684
E3.C1.M2 Multi-Layer Perceptron-2 3 2 98.9362 97.3684
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Related Publications - Journals

• Kala, Rahul, Tiwari, Ritu, Shukla, Anupam
  (2011) Breast Cancer Diagnosis using Optimized
  Attribute Division in Modular Neural Networks,
  Journal of Information Technology Research, Vol.
  4, No 1, pp 34-47
• Kala, Rahul, Janghel, Rekh Ram, Tiwari, Ritu,
  Shukla, Anupam, (2011) Diagnosis of Breast Cancer
  by Modular Evolutionary Neural Networks,
  International Journal of Biomedical Engineering
  and Technology, Inderscience In Press
• Kala, Rahul, Vazirani, Harsh, Khawalkar, Nishant,
  Bhattacharya, Mahua (2010) Evolutionary Radial
  Basis Function Network for Classificatory
  Problems, International Journal of Computer
  Science Applications, TMRF India, Vol. 7, No. 4,
  pp 34-49
• Kala, Rahul, Vazirani, Harsh, Shukla, Anupam,
  Tiwari, Ritu (2010) Medical Diagnosis using
  Incremental Evolution of Neural Network, Journal
  of Hybrid Computing Research, TMRF India , Vol.
  3, No. 1, pp 9-17
• Kala, Rahul, Vazirani, Harsh, Shukla, Anupam,
  Tiwari, Ritu (2010) Evolution of Modular Neural
  Network in Medical Diagnosis, International
  Journal of Applied Artificial Intelligence in
  Engineering System, Vol. 2, No. 1, pp 49 -58

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Related Publications - Conferences

• Meena, Yogesh Kumar, Arya, Karam Veer, Kala,
  Rahul (2010) Classification using Redundant
  Mapping in Modular Neural Networks, Proceedings
  of the 2010 World Congress on Nature and
  Biologically Inspired Computing, Kitakyushu,
  Japan In Press
• Janghel, R. R., Shukla, Anupam, Tiwari, Ritu,
  Kala, Rahul (2010) Breast Cancer Diagnostic
  System using Symbiotic Adaptive Neuro-evolution
  (SANE). Proceedings of the 2010 International
  Conference of Soft Computing and Pattern
  Recognition, Cercy Pontoise/Paris, France, pp
  326-329.
• Janghel, R. R., Shukla, Anupam, Tiwari, Ritu,
  Kala, Rahul (2010) Breast Cancer Diagnosis using
  Artificial Neural Network Models. Proceedings of
  the IEEE 3rd International Conference on
  Information Sciences and Interaction Sciences, pp
  89-94, Chengdu, China.
• Vazirani, Harsh, Kala, Rahul, Shukla, Anupam,
  Tiwari, Ritu (2010) Diagnosis of Breast Cancer by
  Modular Neural Network. Proceedings of the Third
  IEEE International Conference on Computer Science
  and Information Technology, pp 115-119, Chengdu,
  China
• Kala, Rahul, Shukla, Anupam, Tiwari, Ritu
  (2009) Comparative analysis of intelligent hybrid
  systems for detection of PIMA indian diabetes,
  Proceedings of the IEEE 2009 World Congress on
  Nature Biologically Inspired Computing, NABIC
  '09, pp 947 - 952, Coimbatote, India
• Kala, Rahul, Shukla, Anupam, Tiwari, Ritu (2009)
  Fuzzy Neuro Systems for Machine Learning for
  Large Data Sets, Proceedings of the IEEE
  International Advance Computing Conference, IACC
  '09, pp 541-545, Patiala, India

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More from the authors
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Thank You
Rahul Kala Call Centre Lab, Room No 188, School
of Cybernetics, School of Systems
Engineering, University of Reading,
Whiteknights http//rkala.99k.org/
rkala001_at_gmail.com r.kala_at_pgr.reading.ac.uk Ph
44 (0) 7424752843
Acknowledgements Prof. Anupam Shukla, Professor,
IIITM Gwalior Dr. Ritu Tiwari, Assistant
Professor, IIITM Gwalior Mr. R. R. Janghel,
Research Scholar, IIITM Gwalior